Search

Carbon neutrality strategies have a significant role in climate mitigation efforts. As global concerns regarding climate change continue to increase, achieving carbon neutrality has emerged as a paramount objective for reducing greenhouse gas emissions and limiting the adverse impacts of anthropogenic activities on the environment. This research investigates a wide range of scholarly works to conduct an in-depth analysis and synthesis of the relevant information about carbon neutrality strategies. The review introduces carbon neutrality principles and terminologies, highlighting their importance in climate mitigation. It then proceeds to explore the wide range of strategies employed across different sectors and industries, investigating their effectiveness, scalability, and potential challenges. A multidimensional analysis contrasts the United States Nationally Determined Contributions pathway 2023, China's Nationally Determined contributions 2023, and the EU Directive 2023/2413, assessing their economic, environmental, political, and social impacts. The study evaluates strategies' effectiveness, scalability, and innovation for transitioning to a sustainable, low-carbon future. It fills a gap by analyzing global approaches across the US, China, and the EU, which account for about 50% of the world's total GHG emissions. It evaluates the novel application of diverse strategies, from renewable energy transitions to innovative policy measures, highlighting their potential to mitigate climate change effectively. By providing a multidimensional analysis of these strategies' impacts, the research not only enhances understanding of effective carbon neutrality tactics but also underscores the importance of international cooperation in realizing a sustainable, low-carbon future. • Identifies and analyzes carbon neutrality strategies, emphasizing the need for diverse US, Chinese, and EU approaches. • Evaluate renewable energy, carbon capture, and policy tools for carbon reduction effectiveness, scalability, and innovation. • Highlights the study's novelty in synthesizing current knowledge on carbon neutrality, addressing a significant research gap. • Concludes with strategic ideas for international collaboration and policy development for low-carbon futures. [ABSTRACT FROM AUTHOR]

Identifying transmission sectors that may not be revealed by existing indicators, such as production-based emission (PBE) and consumption-based emission (CBE) accounting, is significant in emission reduction policies and provides insights into novel opportunities for companies and industries to reduce emissions. This study proposed an intermediate-based emission (IBE) accounting approach that considers indirect emissions from intermediate goods production and a case study was conducted using Exiobase 3.8. The highest IBE sector was 'basic iron' (1131 Mt-CO 2), and the sector's IBE was higher than its PBE (1052 Mt-CO 2). Additionally, the material sector, such as aluminum products (326 Mt-CO 2), was identified as a key transmission sector, although PBE (21 Mt-CO 2) and CBE (3 Mt-CO 2) of the sector is very low. In addition, IBEs were observed to be closely related to overall supply chain emissions in Germany, Japan, and Asia, and cooperation is required to reduce the emissions. The method enables approaching supply chains with large emissions from three perspectives (production-, consumption-, and intermediate-based accounting) and exploration of the emission reduction responsibilities of the three key sectors. The utility and discussion of the approach are consistent with Scope 3 emissions and facilitate fair allocation of emission reduction responsibilities to a larger number of countries and industries. • This study suggested intermediate-based emission (IBE) accounting. • Industries such as basic iron have high production–based emissions but higher IBE. • Intermediate industries not focused on by existing emission accounting identified. • Existing betweenness-based emission accounting much higher than actual emissions. • Germany, Japan, and Asian HEMs have strong correlation with IBE. [ABSTRACT FROM AUTHOR]

The depth and breadth of the climate crisis is well known, all sectors, industry, government and the individual have the potential to reduce emissions to slow or stop catastrophic climate change. To determine and evaluate the (revealed) preferences of the public in reducing their personal carbon emissions, a conjoint analysis survey, using the PAPRIKA (Potentially All Pairwise RanKings of all possible Alternatives) method, was distributed to the public in a city in the south of England (Southampton). Knowledge of the deep-seated preferences of the public makes a fundamental contribution to future climate actions because it enables publicly acceptable system change to be developed. Results showed the public were unwilling to make large-scale lifestyle changes, even if they would cause large emission reductions. There was a clear preference for making relatively easy, convenient changes to behaviour rather than making more difficult personal lifestyle changes involving diet and transportation. A significant value-action gap is evident, with the public showing high awareness of the seriousness of climate change but showing an unwillingness to make deep cuts to their personal emissions. Demography and personal factors had a relatively low influence over preferences with trends generally staying the same across demographic groups, aside from income brackets. Participants believed that reductions in emissions should come from a 'group effort' from all levels of government, business, environmental groups and individuals. Few participants placed themselves as individual drivers of carbon emission reduction. In order to reduce emissions some form of intervention needs to be made, as the public are not personally willing to make large-scale reductions in carbon emissions, regardless of their environmental awareness or demography. • Public's views on approaches to carbon reduction investigated via conjoint analysis. • Preference for low intensity, 'easy' behaviours not challenging lifestyle changes. • Demographic & personal factors have low influence on carbon reduction preferences. • High awareness of severity of climate change, impacts/priority; also high anxiety. • Desire to consume & "carry on as normal" outweighs self-reported concerns/attitudes. [ABSTRACT FROM AUTHOR]

Reducing greenhouse gas emissions as a key mitigation strategy for climate change has become a global consensus. Remote work, which has good carbon footprint reduction potential, is widely considered a sustainable working mode. However, it is still unknown the extent to which occupations and means to work may influence the pathways of carbon footprint reduction from remote work when interacting with income groups of populations. This study investigates whether optimizing low-carbon scenarios centered on remote work in four major U.S. cities impacts inequality between high and low-income populations. Firstly, we employ an emissions coefficient methodology to quantify the per capita carbon footprint reductions achieved by remote workers within Census Block Groups (CBGs). Secondly, we estimate the decarbonization potential of remote work across urban areas, crafting an optimized scenario that strikes a balance between carbon footprint reduction objectives and urban economic development. This scenario entails transitioning a minimal number of workers from on-site to remote work. Lastly, we analyze the implications of this scenario on high and low-income groups. Our findings suggest that within the constructed low-carbon scenario, low-income individuals are predominantly employed in professions with limited remote work opportunities. Paradoxically, they shoulder a more substantial burden in terms of carbon reduction efforts, underscoring the challenges faced by low-income populations in diminishing their carbon footprints. Consequently, our study offers fresh empirical insights for researchers and policymakers to evaluate the equity aspect of remote work's carbon reduction potential, highlighting the disproportionate challenges faced by low-income groups. In formulating remote work carbon footprint reduction strategies, it is crucial to strike a balance between carbon footprint reduction allocation and other socio-economic costs, while also exploring feasible pathways and actions to attain these goals. [Display omitted] • Leverage remote work as an urban carbon footprint reduction measure. • Cities rely on car commuting have better carbon reduction potential for remote work. • Low-income populations bear more burden in telework carbon reduction process. • The decarbonization process needs to consider the impact of low-income populations. [ABSTRACT FROM AUTHOR]

Food systems contribute 23–42% of global greenhouse gas emissions. Reducing food system emissions is an essential component of climate change mitigation, and a system-wide approach, including production, processing, trade and demand-side transformations, will be needed. Long-term analysis of greenhouse gas (GHG) emissions of food supply is crucial for informing this transformation, and understanding the processes contributing to existing trends can reveal opportunities for future mitigation strategies. To address these needs we used data on food supply, trade and emission intensity to quantify changes in GHG emissions between 1986 and 2017 resulting from food supply in the United Kingdom (UK). Uniquely, the relative contributions of supply-side and demand-side changes to historical trends in food emissions were assessed, and the gap between current UK food consumption and EAT-Lancet recommended diets was used to estimate the additional GHG emission reductions that could be achieved by shifting to the Planetary Health Diet (PHD). It was estimated that in the UK, per-capita GHG emissions from food fell by 32% (from 4.6 tCO 2 eq/capita to 3.1 tCO 2 eq/capita) between 1986 and 2017. Of this 32% reduction, 21% was due to supply-side changes (a fall in emission intensity per unit of production due to increased efficiency of farming practices), 10% was due to demand-side changes (including dietary change and waste reduction), and 2% was due to changing trade patterns. Relative to the PHD, however, the average UK citizen still greatly over-consumes beef, lamb and pork, tubers and starchy vegetables and dairy products, and under-consumes vegetables, nuts, and legumes. It was estimated that by adopting the PHD, UK per capita food emissions could be reduced by a further 42% to 1.8 tCO 2 eq/capita. These results expose the historic contributions of both supply- and demand-side changes to reductions in GHG emissions from food, and highlight the underutilised potential of dietary change in contributing to mitigation of GHG emissions from food. [Display omitted] • UK per-capita food emissions fell by 32% between 1986 and 2017. • Supply and demand-side changes contributed to this reduction. • Adopting the Planetary Health Diet could reduce emissions of UK food supply by 42%. • This reveals the underutilised potential of dietary change as a mitigation strategy. [ABSTRACT FROM AUTHOR]

Biomass plays a dual role as an energy source and a solution for climate change mitigation. There are complexities surrounding decentralized electricity generation, and Ghana could not achieve its 10% renewable energy target in 2020. The paper assesses the greenhouse gas mitigation potential and economic impact of electricity from major food crop residues subjected to anaerobic digestion technology in 16 regions and 88 districts in Ghana from 2017 to 2020. Buswell equation was applied to calculate the biogas and methane yield. The environmental impact assessment was expressed as global warming potential, and the economic feasibility was conducted. The results showed that crop residues' annual theoretical and technical potential was 28.92 Mt and 17.24 Mt. The top four residues with the largest share of technical potential were maize (5.41 Mt), yam (3.58 Mt), plantain (3.05 Mt) and cassava (2.39 Mt). Biogas and electricity potentials were 1,912.74 Mm3 and 3,068.34 GWh, which could offset 15.56% of electricity consumption in Ghana. The Ashanti (478.18 GWh), Eastern (430.20 GWh), Bono East (318.29 GWh) and Northern (314 GWh) regions demonstrated the highest electricity potential. Ghana could generate the highest electricity potential of 46.52 GWh in the districts and a minimum potential of 0.89 GWh annually. Power generation potential from anaerobic digestion had a diesel displacement capacity of 923.35 × 10 6 L with a GHG emissions reduction of 2,507.35 kt CO 2 eq. The largest GHG reduction potential was 38.15 kt CO 2 eq at the district level. The findings show that the project is economically viable, with an average net present value of $ 10,105,904 per region and an electricity cost of $ 0.0321/kWh. The study provides critical insights to policymakers and industry developers for decentralized biomass-based electricity generation in Ghana. • A sustainable crop residue assessment is conducted in Ghana. • The total biogas-based electricity is 3,068.34 GWh. • Ashanti region has high electricity (478.18 GWh) than Greater Accra (9.82 GWh). • The total GHG mitigation is estimated as 2507.35 kt CO 2 eq. • The project is economically viable at a cost of $ 0.0321/kWh. [ABSTRACT FROM AUTHOR]

Following the Paris agreement in 2015, the European Union (EU) set a carbon neutrality objective by 2050, and so did France. The French agricultural sector can contribute as a carbon sink through carbon storage in biomass and soil, in addition to reducing GHG emissions. The objective of this study is to quantitatively assess the additional storage potential and cost of a set of eight carbon-storing practices. The impacts of these agricultural practices on soil organic carbon storage and crop production are assessed at a very fine spatial scale, using crop and grassland models. The associated area base, GHG budget, and implementation costs are assessed and aggregated at the region level. The economic model BANCO uses this information to derive the marginal abatement cost curve for France and identify the combination of carbon storing practices that minimizes the total cost of achieving a given national net GHG mitigation target. We find that a substantial amount of carbon, 36.2 to 52.9 MtCO 2 e yr−1, can be stored in soil and biomass for reasonable carbon prices of 55 and 250 € tCO 2 e−1, respectively (corresponding to current and 2030 French carbon value for climate action), mainly by developing agroforestry and hedges, generalising cover crops, and introducing or extending temporary grasslands in crop sequences. This finding questions the 3–5 times lower target of 10 MtCO2e.yr−1 retained for the agricultural carbon sink by the French climate neutrality strategy. Overall, this would decrease total French GHG emissions by 9.2–13.8%, respectively (reference year 2019). • Additional carbon storage, net GHG budget, and cost of 8 agricultural practices. • MACC shows abatement potential of 40–60 MtCO 2 e.yr−1 for carbon price 55–250 €.tCO 2 e−1. • Key practices: agroforestry, hedges, cover crops, grasslands in crop sequences. • No "one size fits all strategy" due to heterogeneity across regions and practices. • French agricultural carbon sink potential is 5 times higher than anticipated by the government. [ABSTRACT FROM AUTHOR]

Cities are a major source of greenhouse gas emissions (GHGs), but they can play a significant role in climate change mitigation by adopting and implementing GHG emission reduction plans, policies and measures. Circular economy measures are recognized to contribute significantly to decarbonization. However, in the literature there is a lack of quantitative analyses on circular measures in cities and their impact on urban GHG emissions. The paper aims to contribute to the literature on the relation between circular cities and climate change mitigation by focusing on circular interventions applicable in three high-impact sectors in cities: energy systems, mobility and built environment, in order to investigate their impacts in terms of emission reductions and contribution to decarbonization. The study covers four cities around the world accounting for more than 10 million of inhabitants and 2,000 km2 of metropolitan area: Bogotá, Colombia; Genoa and Milan, Italy; Glasgow, UK. The methodology uses a Global Trade Analysis Project (GTAP) modelling approach to develop production and consumption-based emission baselines for the four cities and to assess impacts of selected circular measures in the three sectors on the baselines. According to the in-depth analysis of the four considered urban contexts, the majority of the emissions generated by activities carried out within the urban borders are emitted outside the borders in the form of emissions scope 3, thus demonstrating how today's cities are large consumers of goods produced outside their borders, requiring the use of a consumption-based approach for emissions inventory. The results on the modelling of the GHG reduction impact of circular measures show that there is a relevant emission reduction potential in Scope 1 and 2 emissions in cities and highlight the need to prioritize decarbonization of electricity supply in order to ensure relevant emission reductions across the three sectors. The results also demonstrate the potential to reduce supply-chain Scope 3 emissions through urban measures. [Display omitted] • Four different urban contexts around the world are taken in account. • Three sectors are investigated: energy, mobility and built environment. • A consumption-based emission accounting method is used to assess the effective impact of cities. • Impacts of different GHG emission reduction interventions are evaluated for each city. [ABSTRACT FROM AUTHOR]

Carbon capture, utilization, and storage (CCUS) is a crucial technology for global climate mitigation. To implement large-scale CCUS, decisions about where and how to build a CO 2 transportation network are urgently required. However, previous studies are limited in proposing the economical transportation network for CCUS that considered comprehensive risks from socio-economic, geographical and geological factors. Here, we develop a pipeline layout planning model to investigate the cost-effective and reliable transportation network for CCUS. Results show that to meet the annual CO 2 emission reduction target of 654 million tons for CCUS in the coal-fired power sector under China's carbon neutral goal, pipelines with a total length of 17,589 km need to be constructed. The emission sources can be transported in pipelines with an average radius of 58 km, and with diameters of 8, 12, and 16 inches. Northeast, north, and northwest China are the main areas suitable for pipeline construction. • Northeast, North, and Northwest in China are vital areas for capture, transport, and storage. • Five large-scale pipeline network groups can be constructed in China. • Pipeline construction is greatly affected by a variety of practical factors. [ABSTRACT FROM AUTHOR]

Cities are a major source of greenhouse gas emissions (GHGs), but they can play a significant role in climate change mitigation by adopting and implementing GHG emission reduction plans, policies and measures. Circular economy measures are recognized to contribute significantly to decarbonization. However, in the literature there is a lack of quantitative analyses on circular measures in cities and their impact on urban GHG emissions. The paper aims to contribute to the literature on the relation between circular cities and climate change mitigation by focusing on circular interventions applicable in three high-impact sectors in cities: energy systems, mobility and built environment, in order to investigate their impacts in terms of emission reductions and contribution to decarbonization. The study covers four cities around the world accounting for more than 10 million of inhabitants and 2,000 km2 of metropolitan area: Bogotá, Colombia; Genoa and Milan, Italy; Glasgow, UK. The methodology uses a Global Trade Analysis Project (GTAP) modelling approach to develop production and consumption-based emission baselines for the four cities and to assess impacts of selected circular measures in the three sectors on the baselines. According to the in-depth analysis of the four considered urban contexts, the majority of the emissions generated by activities carried out within the urban borders are emitted outside the borders in the form of emissions scope 3, thus demonstrating how today's cities are large consumers of goods produced outside their borders, requiring the use of a consumption-based approach for emissions inventory. The results on the modelling of the GHG reduction impact of circular measures show that there is a relevant emission reduction potential in Scope 1 and 2 emissions in cities and highlight the need to prioritize decarbonization of electricity supply in order to ensure relevant emission reductions across the three sectors. The results also demonstrate the potential to reduce supply-chain Scope 3 emissions through urban measures. [Display omitted] • Four different urban contexts around the world are taken in account. • Three sectors are investigated: energy, mobility and built environment. • A consumption-based emission accounting method is used to assess the effective impact of cities. • Impacts of different GHG emission reduction interventions are evaluated for each city. [ABSTRACT FROM AUTHOR]

Carbon capture, utilization, and storage (CCUS) is a crucial technology for global climate mitigation. To implement large-scale CCUS, decisions about where and how to build a CO 2 transportation network are urgently required. However, previous studies are limited in proposing the economical transportation network for CCUS that considered comprehensive risks from socio-economic, geographical and geological factors. Here, we develop a pipeline layout planning model to investigate the cost-effective and reliable transportation network for CCUS. Results show that to meet the annual CO 2 emission reduction target of 654 million tons for CCUS in the coal-fired power sector under China's carbon neutral goal, pipelines with a total length of 17,589 km need to be constructed. The emission sources can be transported in pipelines with an average radius of 58 km, and with diameters of 8, 12, and 16 inches. Northeast, north, and northwest China are the main areas suitable for pipeline construction. • Northeast, North, and Northwest in China are vital areas for capture, transport, and storage. • Five large-scale pipeline network groups can be constructed in China. • Pipeline construction is greatly affected by a variety of practical factors. [ABSTRACT FROM AUTHOR]

This study aims to forecast greenhouse gas (GHG) emissions in Hong Kong with an optimal selection of predictors. A review is made on the time-series of the GHG emissions by different sources in 1992–2021. Twenty potential predictors are examined relating to economics, social developments, energy use, waste production and climatic conditions, based on previous studies on GHG emissions and mitigation. Three principal components produce well-fitting linear-log regression models. The model stability over time is verified by expanding window analysis. The model accuracy is assured by a CV(RMSE) of 6.1508% in the testing sets. Based on hierarchical clustering and stepwise regression, the gross floor area of construction projects is the most significant predictor to forecast GHG emissions, followed by the unemployment rate and the total expense in construction works. High levels of the three predictors facilitate GHG mitigation, but cannot meet the carbon neutral target. Carbon reduction technologies should be strengthened in growing construction projects. Electricity related carbon mitigation should be further enhanced. The novelty of this study is to provide insights to updating and prioritizing decarbonization strategies in the next phase of Hong Kong's Climate Action Plan. • The peak and downward trend of GHG emissions are examined in Hong Kong. • Principal components produce well-fitting linear-log regression models with social and economic variables. • Significant predictors to forecast GHG emissions are identified from hierarchical clustering and stepwise regression. • Construction is the top priority in GHG mitigation. • Mitigating electricity-related GHG emissions facilitates meeting carbon neutrality. [ABSTRACT FROM AUTHOR]

The progress made in the penetration of renewable energy (RE) sources in most parts of the world is not fast enough for achieving the international climate mitigation targets. Furthermore, there is a lack of energy planning strategies, methods and tools for assessing the implementation of RE technologies which considers the social support. In this work, we present a replicable multi-criteria spatial approach based on geographical information system to estimate the potential of solar photovoltaic (PV), wind and biomass energy technologies that could be implemented in the short-term in a given territory. This potential includes environmental, technical (with economic attributes) and geographical (with social-acceptability attributes) constraints, together with existing local power plants considerations for calculating the electricity generation by technology, and then estimating its jobs creation and greenhouse gas emissions reduction. The approach was applied to the province of Jaén (Southern Spain), which has a pronounced unbalance between its inner electricity production and consumption and apparently is a territory with great technical potential for the aforementioned technologies. Results show that this province has a short-term implementable potential that would annually produce 8.9 TWh from solar PV, 911 GWh from wind energy and 683 GWh from biomass plants; which is 3.8 times greater than the current electricity consumption and would require 1.5% of the total surface of Jaén. This potential can create about 92,800 direct jobs and avoid the emissions of 3.78–8.61 MtCO 2 to the atmosphere. The proposed approach can be useful for energy planning processes and for allowing decision-making to accelerate the implementation of RE power plants in order to achieve the climate mitigation goals. • A multi-criteria GIS-based approach with local consideration is proposed. • A renewable energy potential with economic and socio-acceptability attributes was estimated. • 6.6 GW of photovoltaic (PV), 0.6 GW of wind and 88 MW of biomass energy can be installed in the near-term in Jaén. • PV and wind energy installed capacity would occupy 1.5% of the total surface of Jaén. • About 92,800 direct jobs can be created and 3.78–8.61 MtCO 2 emissions avoided. [ABSTRACT FROM AUTHOR]

The shipping sector is seeking options to reduce its emissions of greenhouse gases (GHGs) and achieve ambitious climate change mitigation goals. Unlike short-sea shipping that can rely on electrification of coastal vessels, drop-in biofuels are among the most promising options for deep-sea shipping decarbonization. However, environmental sustainability analyses of marine biofuels are limited, and usually do not include the influence of future changes in the background energy system nor the climatic effects of near-term climate forcers (NTCFs). In our study, we assess the climate change mitigation potential of various marine biofuels produced from forest residues in Norway (a country with ambitious plans for emission reduction from shipping) using a prospective life-cycle assessment (LCA) where the projected trends in the energy and transport sectors are integrated with improvements in the biofuel value chain for the next decades (2030–2050). Relative to fossil-based alternatives, climate mitigation potentials of biofuels range from 65% to 85% with short-term (GWP20) and to 78%–87% with long-term (GTP100) climate impacts. The inclusion of NTCFs reduces the mitigation benefits of biofuels in the short term, while it slightly increases them in the long term. The explicit modeling of technology and socio-economic changes under future policy scenarios indicates a reduction in the climate impacts of biofuels by up to 54% in 2050 when compared to the current situation. The amount of residues potentially available in Norway is sufficient to meet the present demand for liquid fuels in deep-sea shipping, thus providing yearly climate mitigation of 0.9–1.1 million tons of CO 2-eq (equal to 6–7% of today's climate impacts from the entire transport sector in the country). Our analysis shows the large climate change mitigation potential of drop-in biofuels, and it provides new quantitative estimates that can help guiding a sustainability shift in the deep-sea shipping sector. [Display omitted] • Climate mitigation from biofuels can range from 65% to 87% relative to fossil fuels. • Future inventory databases can cut up to 54% of marine biofuel's climate impacts. • NO x and SO x lower the climate impacts of biofuels in the short and medium terms. • Marine biofuels can mitigate 6–7% of the Norwegian transport sector's emissions. [ABSTRACT FROM AUTHOR]

Transforming and expanding the electricity sector are key for climate change mitigation and alleviation of energy poverty. Future energy systems based on renewable energy sources may reduce greenhouse gas (GHG) emissions but could require more materials during construction. We assess this trade-off by quantifying the requirements of the main bulk materials used in electricity infrastructures for 281 global electricity sector pathways until 2050. We identify main determinants for material requirements and gauge the relevance of socio-economic framework conditions and climate change mitigation regimes. Five selected, highly diverse scenarios are analysed in detail by quantifying their respective annual material stocks and flows, and cumulative GHG emissions to 2050. We find robust evidence that scenarios in line with the 1.5 °C target are associated with significantly higher material requirements than scenarios exceeding a global temperature rise of 2 °C. Material stocks in 2050 differ by up to 30% for copper, 100% for concrete, 150% for iron/steel and 260% for aluminium (3rd quartiles of Monte Carlo simulations), even when the particularly material-intensive "Below 1.5 °C″ scenarios are excluded. Although power plants account for the largest part of the material requirements, grid expansion and reinforcement, necessary to accommodate large shares of volatile power generation and provide universal access to electricity, also cause substantial material demand. In the absence of future GHG mitigation in the processing industries, GHG emissions related to bulk materials (primarily iron/steel and aluminium) could amount to one tenth of the remaining carbon budget for a 50% chance of limiting global warming to 1.5 °C. However, if preference is given to material-efficient technologies, low-carbon processes are applied in the industries and increased material recycling is achieved, GHG emissions related to bulk materials in decarbonisation pathways will not significantly exceed those in largely fossil fuel-based scenarios. • Global electricity sector pathways to 2050 require large amounts of bulk materials. • High-renewable scenarios that meet climate targets are most material-intensive. • Future iron/steel and aluminium requirements imply large greenhouse gas emissions. • Without mitigation, cumulative GHG emissions could be 10% of the 1.5° carbon budget. • Mitigation options include material efficiency, technology development & circularity. [ABSTRACT FROM AUTHOR]

With increased understanding of the impacts of climate change, institutions across the world are committing to achieve carbon neutrality and other emissions reduction targets. Within academia, the American College & University Presidents' Climate Commitment was created as a highly visible public contract with over 300 active signatories. Existing climate action planning tools rely on significant subjectivity and previously conducted project analysis. This work presents an optimization framework that develops a long-term planning tool tailored for use by academic institutions. Further, we highlight the potential for ecological solutions and land management as economically competitive actions for campuses. The presented tool, known as DCARB (Designing Climate Action and Regulations for sustainaBility), features an ability to quickly optimize multiple pathways towards carbon neutrality based on user-input and parameter variability. We showcase DCARB through an application for The Ohio State University to demonstrate the outputs of the tool based on current projects outlined in the institution's climate action plan. Additionally, parameter variability is analyzed to explore how solutions might change due to data uncertainty or application to other campuses. The results encourage urgent action as they can provide cheaper pathways towards neutrality, including immediate consideration of land-based actions. Additionally, applications of the tool highlight challenges for achieving neutrality such as a reliance on market-based offsets, future market volatility, proper carbon credit accounting, and planning for future social and behavioral actions. [ABSTRACT FROM AUTHOR]

Anaerobic digestion (AD) is at the interface of biowaste management, energy generation, food production and land-based carbon dioxide removal. Strategic deployment of AD requires careful scoping of interactions with prospective alternative biowaste management, energy generation technologies and land uses to ensure effective delivery of climate neutrality and circularity. There remains a need to assess the greenhouse gas (GHG) mitigation efficacy of AD in the context of future alternative (counterfactual) processes associated with differential rates of decarbonisation across energy, waste management and land (including agriculture) sectors. To address this gap, prospective life cycle assessment (LCA) is applied to AD deployment scenarios across three decarbonisation contexts, using the UK as an example. Food waste prevention and diversion to animal feed always achieve more GHG mitigation than AD, even with sustainable intensification of food and feed production. Compared with maize- or grass-biomethane transport fuel, solar electricity generation can avoid 16 times more fossil energy and afforestation can mitigate six times more GHG per hectare of land occupied. Transport biomethane is currently the most effective biogas use for GHG mitigation, but large-scale combustion of biogas for electricity or industrial heat generation is the most effective long-term option as transport is electrified and bioenergy carbon capture & storage (BECCS) is deployed. Prioritising waste prevention and diversion to animal feed (including via insect meal) instead of maximising AD deployment could simultaneously: offset an additional 10–15% of national GHG emissions; meet an additional 2–4% of national energy demand; free enough arable land to provide 20–21% of national recommended protein and kcal intake. However, AD is likely to remain the best option to manage substantial volumes of residual food wastes and manures that will remain available even if ambitious projections on waste prevention and diet change are realised. [Display omitted] • Consequential LCA of anaerobic digestion (AD) in future decarbonisation contexts • GHG mitigation efficacy of AD declines as energy & transport systems decarbonise • AD-crop cultivation is a highly inefficient land use for energy generation and GHG mitigation • Carbon capture & storage could maintain effective mitigation from large-scale biogas use • Sustainable niche for waste-AD alongside waste prevention & diversion to animal feed [ABSTRACT FROM AUTHOR]

The world needs to rapidly reduce emissions of carbon dioxide (CO 2) emission to stave off the risks of disastrous climate change. In particular, decarbonizing U.S. manufacturing industries is particularly challenging due to the specific process requirements. This study estimates the potential for future CO 2 emission reductions in this important sector. The analysis is a detailed accounting exercise that relies on estimates of emission-reduction potential from other studies and applies those potentials to the manufacturing sector using a bottom-up approach. The actions are grouped into four "pillars" that support deep decarbonization of manufacturing (DDM): Energy Efficiency, Material Efficiency, Industry-Specific, and Power Grid. Based on this bottom-up approach, the analysis shows that an 86% reduction in carbon dioxide emissions from the Reference Case is feasible. No single pillar dominates DDM, although opportunities vary widely by sub-sector. The analysis shows that a strategy incorporating a broad set of elements from each pillar can be effective instead of relying on any single pillar. Some pillars, such as Energy Efficiency and Material Efficiency, have wide applicability; others have key niche roles that are Industry-Specific; the Power Grid pillar requires interaction between grid decarbonization and industry action to switch from fossil fuels to zero-carbon electricity where appropriate. [Display omitted] • Four technological strategies ("pillars") for deep decarbonization of U.S. manufacturing are investigated. • Seven energy-intensive and one non-energy-intensive industries are examined separately. • An 86% reduction in energy related CO 2 emissions is feasible in U.S. manufacturing by 2050. • No single pillar dominates implying a diversified approach to decarbonization is needed. • Some emissions remain in select industries, in particular chemicals. [ABSTRACT FROM AUTHOR]

The reduction of agricultural greenhouse gas emissions relies on farmers' active involvement in mitigation actions. However, little is known about farmers' capability of engaging with climate change mitigation. This study addresses the gap by delineating an actor-centered, capability-based, and multi-dimensional framework of farmers' carbon capability to elucidate how and to what extent farmers are equipped to engage in climate change mitigation. A structural equation model and farm-level data collected from China are used to explore the structural relationships between the carbon capability constructs. The results show that farmers' intrapsychic constructs are pro-environmental, and their cognitive knowledge about pro-climate farming practices is moderate. However, the performance of pro-climate farming is largely not under farmers' behavioral control. Farmers generally have a weak tendency to perform stable pro-climate farming behaviors, while they are slightly more inclined to behave pro-environmentally in social interactions. In addition, farmers' behavioral control capability emerges as the strongest predictor of the behavioral capability of farming, which, in turn, is an essential prerequisite for both the behavioral capability of socializing and influence capability. The findings of this study have important strategic implications for policymakers seeking to reduce agricultural greenhouse gas emissions. • A conceptual framework of farmers' carbon capability is proposed and tested. • Analyses elucidate the aspects in and extent to which farmers are equipped to engage in climate change mitigation. • Pro-climate farming is largely not under farmers' behavioral control. • Farmers' control over pro-climate farming matters to their own behaviors but also to peers' responses. [ABSTRACT FROM AUTHOR]

Agricultural activities and associated land use change are a major contributor to global anthropogenic greenhouse gas (GHG) emissions, making climate change mitigation in the agricultural sector all the more critical. However, farmers' willingness to adopt GHG abatement depends, to a large extent, on the financial implications of new practices. Climate change mitigation is unlikely to be adopted without external (financial, socio-cultural, or other) incentives. The research presented in this paper considers farmers' preferences for financing climate change mitigation practices through public crowdfunding. As a first study of its kind, we investigate farmers' attitudes towards climate change mitigation, knowledge of crowdfunding as a fundraising method, and interest in using public crowdfunding campaigns to finance on-farm mitigation practices. Based on a choice experiment survey with 443 Norwegian farmers, we show that knowledge about crowdfunding as an alternative finance method is generally low. Respondents who are interested in using crowdfunding prefer donation- or reward-based crowdfunding models that cover the full cost of mitigation over a loan-based model or campaigns that only fund a proportion of the costs. A financially secure farming business, previous exposure to crowdfunding, and a strong sense of responsibility to abate climate change are associated with higher farmers' interest in using crowdfunding. We find that farmers in Norway are hesitant to be publicly presented as recipients of crowdfunding, which suggests that crowdfunding is best set up as joint campaigns (e.g. with other farmers) that are run by intermediary organisations (rather than by individual farmers). Our findings highlight that, while opportunities to use crowdfunding as a fundraising method for agricultural climate change may be limited, properly designed campaigns can provide an effective instrument to engage certain groups of farmers in on-farm climate change mitigation. • Crowdfunding can be used to raise funds for agricultural climate change mitigation. • There is currently no research on farmers' interest in crowdfunding. • We conduct a choice experiment survey of Norwegian farmers. • About 25% of farmers would be interested in crowdfunding to finance mitigation measures. • Donation- or reward-based models, and campaigns that collaborate with other farmers are preferred. [ABSTRACT FROM AUTHOR]

Agriculture, forestry and other land use are important components of a global strategy to limit climate change. Using the example of EU agriculture, this paper examines the potential contribution of technological (i.e. technical and management-based) greenhouse gas mitigation options to climate targets. The quantitative framework presented allows to analyze disparities between marginal abatement cost curves (MACCs) derived from two different commonly used approaches, and between aggregated and regional MACCs. Results highlight the importance of assessing mitigation of agricultural emissions from a multi-dimensional perspective, considering regional heterogeneity of biophysical and economic circumstances and comprising both carbon-dioxide (CO 2) and non-CO 2 emissions. Regarding the ranking of technologies in terms of mitigation potential and costs, the results underline the need to consider technologies in a combined manner, avoiding the simple aggregation of mitigation potentials by individual measures without taking their interactions into account. Focusing only on standalone MACCs can lead to an overestimation of the mitigation potential. Conversely, measures classified as relatively high cost in standalone and aggregated MACCs should not be discarded, as they can still be cost-effective in some regions. The analysis shows that there is no 'one size fits all' rule that could be followed for identifying technologies that should be implemented in all regions. From a policy perspective the results imply that farmers should be granted some flexibility to adopt a set of cost-effective mitigation options that best fits their circumstances. • This paper explores disparities between technology-specific MACCs in agriculture. • Mitigation technologies need to be considered in a combined and regional manner. • Interactions between measures affect cost-effectiveness of individual technologies. • Standalone approaches may discard options that are cost-effective for some regions. • Region-specific flexibility is required to find the most cost-effective technology mix. [ABSTRACT FROM AUTHOR]